yolo 4d : Portal Jenjang Karir Mahasiswa Teknik Universitas Kenya

yolo 4dCompared to the YOLOv4, the YOLOV4-5D improves the mean average precision by 4.23% on the BDD data sets and 1.68% on the KITTI data sets. Finally, by pruningYOLO4D is a 3D object detection method that uses a 4D tensor of LiDAR point clouds to exploit the temporal information. It is based on YOLO v2 and is evaluated on KITTI